Efficient Computing for High Energy Physics

Lead Research Organisation: University of Bristol
Department Name: Physics

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Planned Impact

See lead document

Publications

10 25 50
 
Description This project gave an evaluation of where new effort could best be used in the quest to make computing for high energy physics more efficient. This was broken down into simulation/reconstruction/Monte Carlo generation and triggering needs. This informed the further bid, Swift-HEP, which funds postdocs across the UK to tackle some of these challenges. A workshop was held to engage the community and to invite relevant UK and international industry to address the challenges with us.
Exploitation Route Swift-HEP is taking forward these findings to research solutions to efficiency problems in HEP computing.
Sectors Digital/Communication/Information Technologies (including Software)

 
Description Links have been set up between UK HEP academics and industry partners in computing.
First Year Of Impact 2020
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Societal,Economic

 
Description SoftWare InFrastructure and Technology for High Energy Physics experiments (SWIFT-HEP) at University of Bristol
Amount £107,793 (GBP)
Funding ID ST/V002511/1 
Organisation Science and Technologies Facilities Council (STFC) 
Sector Public
Country United Kingdom
Start 04/2021 
End 03/2024
 
Description ECHEP/Excalibur Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Workshop involving wider UK particle physics community addressing the need for modern software and computing solutions to deal with exa-scale datasets. Informed Swift-HEP proposal/collaboration.
Year(s) Of Engagement Activity 2020
URL https://indico.cern.ch/event/928965/